Core ML
core-ml
ios
macos
apple
on-device
model-zoo
coremltools
mlpackage
arxiv:1808.00897
arxiv:2009.09960
arxiv:2101.04061
arxiv:2107.10833
arxiv:2109.07161
arxiv:2204.00964
arxiv:2211.08553
arxiv:2212.11613
arxiv:2303.14535
arxiv:2303.15343
arxiv:2306.07691
arxiv:2306.14289
arxiv:2310.13025
arxiv:2311.06242
arxiv:2311.14760
arxiv:2312.01479
arxiv:2401.17270
arxiv:2404.13686
arxiv:2405.14458
arxiv:2501.14677
arxiv:2503.07465
arxiv:2505.08175
arxiv:2507.02546
arxiv:2511.09554
arxiv:2511.10647
Revert: pull YOLOE from live manifest (pending app 3.0)
Browse files- models.json +1 -57
models.json
CHANGED
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{
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"manifest_version": 1,
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"updated_at": "2026-
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"min_app_version": "1.0",
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"categories": [
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{
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"year": 2022
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},
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"conversion_script_url": "https://github.com/john-rocky/CoreML-Models/blob/master/conversion_scripts/convert_pixelization.py"
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},
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{
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"id": "yoloe",
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"name": "YOLOE",
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"subtitle": "Open-vocab detection + segmentation",
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"category_id": "detection",
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"description_md": "YOLOE — real-time **open-vocabulary detection + instance segmentation**. Type any objects (comma-separated) to detect *and* segment them; no fixed class list. The detector emits per-anchor region embeddings and the region–text similarity runs on-device against MobileCLIP→RepRTA text embeddings, so the vocabulary changes for free. Toggle masks on/off. See the YOLOEDemo sample app for text + visual prompts and live camera.",
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"thumbnail_url": null,
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"demo": {
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"template": "yoloe",
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"config": {
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"confidence_threshold": 0.15
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}
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},
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"files": [
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{
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"name": "yoloe_detector_s.mlpackage.zip",
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"url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/yoloe/yoloe_detector_s.mlpackage.zip",
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"archive": "zip",
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"size_bytes": 19157375,
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"sha256": "e96db41c3f91677bd1efe81b1b483b911302b838c8e1116c16fcb1c5e6f010d4",
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"kind": "model"
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},
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{
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"name": "reprta_s.mlpackage.zip",
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"url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/yoloe/reprta_s.mlpackage.zip",
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"archive": "zip",
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"size_bytes": 3723041,
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"sha256": "c8df0fa7503c17b7e760b5a67ca2a8e1ddde93b894325b8f67ecc1d13c229aac",
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"kind": "model"
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},
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{
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"name": "mobileclip_blt_text.mlpackage.zip",
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"url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/yoloe/mobileclip_blt_text.mlpackage.zip",
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"archive": "zip",
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"size_bytes": 117058491,
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"sha256": "e16dc29921d398ec2f39bde23e69f99b23128135043f754c88869c0c2dd588fb",
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"kind": "model"
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}
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],
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"requirements": {
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"min_ios": "17.0",
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"min_ram_mb": 600
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},
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"license": {
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"name": "AGPL-3.0",
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"url": "https://github.com/THU-MIG/yoloe/blob/main/LICENSE"
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},
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"upstream": {
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"name": "THU-MIG/yoloe",
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"url": "https://github.com/THU-MIG/yoloe",
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"year": 2025
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},
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"credits_md": null,
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"hf_repo_url": null,
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"conversion_script_url": "https://github.com/john-rocky/CoreML-Models/blob/master/sample_apps/YOLOEDemo/convert_models.py"
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}
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]
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}
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{
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"manifest_version": 1,
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"updated_at": "2026-04-24T15:44:51Z",
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"min_app_version": "1.0",
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"categories": [
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{
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"year": 2022
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},
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"conversion_script_url": "https://github.com/john-rocky/CoreML-Models/blob/master/conversion_scripts/convert_pixelization.py"
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}
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]
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}
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